On the problem of mining phrase definition from item descriptions

Hung V. Nguyen, Hasan Davulcu

Research output: Chapter in Book/Report/Conference proceedingChapter


Most search engines do their text query and retrieval using keywords. However, vendors cannot anticipate all possible ways in which shoppers search for their products. In fact, many times, there may be no direct keyword match between a search phrase and descriptions of products that are perfect "hits" for the search. A highly automated solution to the problem of bridging the semantic gap between product descriptions and search phrases used by Web shoppers is developed. By using scalable information extraction techniques from Web sources and a frequent itemset mining algorithm, our system can learn how meanings can be ascribed to popular search phrases with dynamic connotations. By annotating the product databases based on the meanings of search phrases mined by our system, catalog owners can boost the findability of their products.

Original languageEnglish (US)
Title of host publicationIntelligent Information Technologies and Applications
PublisherIGI Global
Number of pages24
ISBN (Print)9781599049588
StatePublished - 2007

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'On the problem of mining phrase definition from item descriptions'. Together they form a unique fingerprint.

Cite this